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Abstract

Background: Most Bayesian models for the analysis of complex traits are not analytically tractable and inferences are based on computationally intensive techniques. This is true of Bayesian models for genome-enabled selection, which uses whole-genome molecular data to predict the genetic merit of...

Author(s)
Wu, X. L.; Sun, C. Y.; Beissinger, T. M.; Rosa, G. J. M.; Weigel, K. A.; Gatti, N. de L.; Gianola, D.
Publisher
BioMed Central Ltd, London, UK
Citation
Genetics, Selection, Evolution, 2012, 44, 29, pp (25 September 2012)
Abstract

Phenotypic traits may exert causal effects between them. For example, on the one hand, high yield in dairy cows may increase the liability to certain diseases and, on the other hand, the incidence of a disease may affect yield negatively. Likewise, the transcriptome may be a function of the...

Author(s)
Rosa, G. J. M.; Valente, B. D.; Campos, G. de los; Wu, X. L.; Gianola, D.; Silva, M. A.
Publisher
BioMed Central Ltd, London, UK
Citation
Genetics, Selection, Evolution, 2011, 43, 6, pp (10 February 2011)
Abstract

Genome-assisted prediction of genetic merit of individuals for a quantitative trait requires building statistical models that can handle data sets consisting of a massive number of markers and many fewer observations. Numerous regression models have been proposed in which marker effects are treated ...

Author(s)
Long, N.; Gianola, D.; Rosa, G. J. M.; Weigel, K. A.
Publisher
Wiley-Blackwell, Berlin, Germany
Citation
Journal of Animal Breeding and Genetics, 2011, 128, 4, pp 247-257
Abstract

Clinical mastitis is typically coded as presence/absence during some period of exposure, and records are analyzed with linear or binary data models. Because presence includes cows with multiple episodes, there is loss of information when a count is treated as a binary response. The Poisson model is ...

Author(s)
Vazquez, A. I.; Gianola, D.; Bates, D.; Weigel, K. A.; Heringstad, B.
Publisher
American Dairy Science Association, Savoy, USA
Citation
Journal of Dairy Science, 2009, 92, 2, pp 739-748
Abstract

A Gaussian-threshold model is described under the general framework of structural equation models for inferring simultaneous and recursive relationships between binary and Gaussian characters, and estimating genetic parameters. Relationships between clinical mastitis (CM) and test-day milk yield...

Author(s)
Wu, X. L.; Heringstad, B.; Gianola, D.
Publisher
EDP Sciences, Les Ulis, France
Citation
Genetics, Selection, Evolution, 2008, 40, 4, pp 333-357
Abstract

Typically, clinical mastitis is coded as the presence or absence of disease in a given lactation, and records are analyzed with either linear models or binary threshold models. Because the presence of mastitis may include cows with multiple episodes, there is a loss of information when counts are...

Author(s)
Vazquez, A. I.; Weigel, K. A.; Gianola, D.; Bates, D. M.; Perez-Cabal, M. A.; Rosa, G. J. M.; Chang, Y. M.
Publisher
American Dairy Science Association, Savoy, USA
Citation
Journal of Dairy Science, 2009, 92, 10, pp 5239-5247

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